Road users in the network are assumed to be distributed according to the principle of user equilibrium, with the demand assumed to be fixed and given a priori.
However, even with such reactive mitigation approaches in place, network under DDoS attack becomes unstable and legitimate users in the network suffer in terms of increased response times and frequent network failures.
It perceived, this is one of the efficient functional techniques for next generation broadband optical networks together with higher security owing to encoding and decoding, as it allow multiple users in the network to access the same fiber channel asynchronously.
Differentiating from existing researches, we are devoted to combining the status of users in the network and the contents generated from these users to synthetically measure the influence diffusion.
In the present work, we followed two approaches to derive information about new users in the network design and control processes, where both are based on prototype generation for the answers of former users to a QoS related questionnaire.
Only users in the network can see all details.
Open access allows all the users in the network to connect within the coverage range.
For each algorithm, the total number of users in the network is varied.
Table 2 shows the top ten users in the network with highest number of followers.
In [45], the authors also proposed a protocol that can identify untruthful users in the network.
However, if there are more users in the network competing for the network capacity, the capacity of a typical user which is almost inversely proportional to the number of users in the network will obviously reduce.
